BraydenMoore commited on
Commit
632a626
·
1 Parent(s): 5f81d51

Improve speed and add week selector

Browse files
Source/Predict/__pycache__/predict.cpython-311.pyc CHANGED
Binary files a/Source/Predict/__pycache__/predict.cpython-311.pyc and b/Source/Predict/__pycache__/predict.cpython-311.pyc differ
 
Source/Predict/predict.py CHANGED
@@ -7,6 +7,7 @@ import requests
7
  from bs4 import BeautifulSoup
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  import warnings
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  warnings.filterwarnings("ignore")
 
10
 
11
  # set dirs for other files
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  current_directory = os.path.dirname(os.path.abspath(__file__))
@@ -30,6 +31,20 @@ file_path = os.path.join(pickle_directory, 'team_abbreviation_to_name.pkl')
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  with open(file_path, 'rb') as f:
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  team_abbreviation_to_name = pkl.load(f)
32
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
33
  def get_week():
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  headers = {
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  'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7',
@@ -47,7 +62,6 @@ def get_week():
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  h2_tags = soup.find_all('h2')
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  year = h2_tags[0].getText().split(' ')[0]
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  week = h2_tags[0].getText().split(' ')[-1]
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- print(week)
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  return int(week), int(year)
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@@ -104,12 +118,7 @@ def predict(home,away,season,week,total):
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105
  # create game id
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  game_id = str(season) + '_0' + str(week) + '_' + away_abbrev + '_' + home_abbrev
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-
108
- # moneyline
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- model = 'xgboost_ML_no_odds_71.4%'
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- file_path = os.path.join(model_directory, f'{model}.json')
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- xgb_ml = xgb.Booster()
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- xgb_ml.load_model(file_path)
113
 
114
  try:
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  moneyline_result = results.loc[results['game_id']==game_id, 'winner'].item()
@@ -126,12 +135,6 @@ def predict(home,away,season,week,total):
126
  moneyline = {'Winner': 'NA',
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  'Probabilities':['N/A'],
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  'Result': moneyline_result}
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-
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- # over/under
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- model = 'xgboost_OU_no_odds_59.8%'
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- file_path = os.path.join(model_directory, f'{model}.json')
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- xgb_ou = xgb.Booster()
134
- xgb_ou.load_model(file_path)
135
 
136
  try:
137
  result = results.loc[results['game_id']==game_id, 'total'].item()
 
7
  from bs4 import BeautifulSoup
8
  import warnings
9
  warnings.filterwarnings("ignore")
10
+ from datetime import datetime
11
 
12
  # set dirs for other files
13
  current_directory = os.path.dirname(os.path.abspath(__file__))
 
31
  with open(file_path, 'rb') as f:
32
  team_abbreviation_to_name = pkl.load(f)
33
 
34
+ # load models
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+ # moneyline
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+ model = 'xgboost_ML_no_odds_71.4%'
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+ file_path = os.path.join(model_directory, f'{model}.json')
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+ xgb_ml = xgb.Booster()
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+ xgb_ml.load_model(file_path)
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+
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+ # over/under
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+ model = 'xgboost_OU_no_odds_59.8%'
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+ file_path = os.path.join(model_directory, f'{model}.json')
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+ xgb_ou = xgb.Booster()
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+ xgb_ou.load_model(file_path)
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+
47
+
48
  def get_week():
49
  headers = {
50
  'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7',
 
62
  h2_tags = soup.find_all('h2')
63
  year = h2_tags[0].getText().split(' ')[0]
64
  week = h2_tags[0].getText().split(' ')[-1]
 
65
  return int(week), int(year)
66
 
67
 
 
118
 
119
  # create game id
120
  game_id = str(season) + '_0' + str(week) + '_' + away_abbrev + '_' + home_abbrev
121
+ print(game_id)
 
 
 
 
 
122
 
123
  try:
124
  moneyline_result = results.loc[results['game_id']==game_id, 'winner'].item()
 
135
  moneyline = {'Winner': 'NA',
136
  'Probabilities':['N/A'],
137
  'Result': moneyline_result}
 
 
 
 
 
 
138
 
139
  try:
140
  result = results.loc[results['game_id']==game_id, 'total'].item()